August 16, 2023

tMysqlOutput – Docs for ESB 6.x

tMysqlOutput

Writes, updates, makes changes or suppresses entries in a database.

tMysqlOutput executes the action defined on the table
and/or on the data contained in the table, based on the flow incoming from the preceding
component in the Job.

Depending on the Talend solution you
are using, this component can be used in one, some or all of the following Job
frameworks:

  • Standard: see tMysqlOutput Standard properties.

    The component in this framework is generally available.

  • MapReduce: see tMysqlOutput MapReduce properties.

    The component in this framework is available only if you have subscribed to one
    of the
    Talend
    solutions with Big Data.

  • Spark Batch: see tMysqlOutput properties for Apache Spark Batch.

    This component can also be used to write data to a RDS Aurora or a RDS MySQL
    database.

    The component in this framework is available only if you have subscribed to one
    of the
    Talend
    solutions with Big Data.

  • Spark Streaming: see tMysqlOutput properties for Apache Spark Streaming.

    This component can also be used to write data to a RDS Aurora or a RDS MySQL
    database.

    The component in this framework is available only if you have subscribed to Talend Real-time Big Data Platform or Talend Data
    Fabric.

tMysqlOutput Standard properties

These properties are used to configure tMysqlOutput running in the Standard Job framework.

The Standard
tMysqlOutput component belongs to the Databases family.

The component in this framework is generally available.

Basic settings

Property type

Either Built-In or Repository.

Built-In: No property data stored centrally.

Repository: Select the repository file where the
properties are stored.

DB Version

Select the MySQL version you are using.

Save_Icon.png

Click this icon to open a database connection wizard and store the
database connection parameters you set in the component Basic settings view.

For more information about setting up and storing database connection
parameters, see
Talend Studio

User Guide.

Use an existing connection

Select this check box and in the Component
List
click the relevant connection component to reuse the connection
details you already defined.

Note:

When a Job contains the parent Job and the child Job, if you need to share an
existing connection between the two levels, for example, to share the connection created by
the parent Job with the child Job, you have to:

  1. In the parent level, register the database connection to be shared
    in the Basic settings view of the
    connection component which creates that very database connection.

  2. In the child level, use a dedicated connection component to read
    that registered database connection.

For an example about how to share a database connection across Job levels, see


Talend Studio
User Guide
.

Host

Database server IP address.

Port

Listening port number of DB server.

Database

Name of the database.

Username and Password

DB user authentication data.

To enter the password, click the […] button next to the
password field, and then in the pop-up dialog box enter the password between double quotes
and click OK to save the settings.

Table

Name of the table to be written. Note that only one table can be
written at a time

Action on table

On the table defined, you can perform one of the following
operations:

Default: No operation is carried
out.

Drop and create a table: The table is
removed and created again.

Create a table: The table does not
exist and gets created.

Create a table if not exists: The table
is created if it does not exist.

Drop a table if exists and create: The
table is removed if it already exists and created again.

Clear a table: The table content is
deleted.

Truncate table: The table content is
quickly deleted. However, you will not be able to rollback the
operation.

Action on data

On the data of the table defined, you can perform:

Insert: Add new entries to the table.
If duplicates are found, the job stops.

Update: Make changes to existing
entries.

Insert or update: Insert a new record. If
the record with the given reference already exists, an update would be made.

Update or insert: Update the record with the
given reference. If the record does not exist, a new record would be inserted.

Delete: Remove entries corresponding to
the input flow.

Replace: Add new entries to the table.
If an old row in the table has the same value as a new row for a PRIMARY
KEY or a UNIQUE index, the old row is deleted before the new row is
inserted.

Insert or update on duplicate key or unique
index
: Add entries if the inserted value does not exist
or update entries if the inserted value already exists and there is a
risk of violating a unique index or primary key.

Insert Ignore: Add only new rows to
prevent duplicate key errors.

Warning:

You must specify at least one
column as a primary key on which the Update and Delete operations are based. You can do that by
clicking Edit Schema and
selecting the check box(es) next to the column(s) you want to set as
primary key(s). For an advanced use, click the Advanced settings view where you can
simultaneously define primary keys for the update and delete
operations. To do that: Select the Use
field options
check box and then in the Key in update column, select the check
boxes next to the column name on which you want to base the update
operation. Do the same in the Key in
delete
column for the deletion operation.

Note:

The dynamic schema feature can be used in the
following modes: Insert;
Update; Insert or update; Update or insert; Delete.

Schema and Edit
schema

A schema is a row description. It defines the number of fields (columns) to
be processed and passed on to the next component. The schema is either Built-In or stored remotely in the Repository.

This component offers the
advantage of the dynamic schema feature. This allows you to retrieve unknown columns
from source files or to copy batches of columns from a source without mapping each
column individually. For further information about dynamic schemas, see
Talend Studio

User Guide.

This dynamic schema
feature is designed for the purpose of retrieving unknown columns of a table and is
recommended to be used for this purpose only; it is not recommended for the use of
creating tables.

 

Built-In: You create and store the
schema locally for this component only. Related topic: see
Talend Studio

User Guide.

 

Repository: You have already created
the schema and stored it in the Repository. You can reuse it in various projects and
Job designs. Related topic: see
Talend Studio

User Guide.

When the schema to be reused has default values that are integers or
functions, ensure that these default values are not enclosed within quotation marks. If
they are, you must remove the quotation marks manually.

You can find more details about how to verify default
values in retrieved schema in Talend Help Center (https://help.talend.com).

 

Click Edit schema to make changes to the schema.
If the current schema is of the Repository type, three
options are available:

  • View schema: choose this option to view the
    schema only.

  • Change to built-in property: choose this
    option to change the schema to Built-in for
    local changes.

  • Update repository connection: choose this
    option to change the schema stored in the repository and decide whether to propagate
    the changes to all the Jobs upon completion. If you just want to propagate the
    changes to the current Job, you can select No
    upon completion and choose this schema metadata again in the [Repository Content] window.

Die on error

This check box is selected by default. Clear the check box to skip the
row in error and complete the process for error-free rows. If needed,
you can retrieve the rows in error via a Row > Rejects
link.

Specify a data source alias

Select this check box and specify the alias of a data source created on the
Talend Runtime
side to use the shared connection pool defined in the
data source configuration. This option works only when you deploy and run your Job in

Talend Runtime
. For a related use case, see Scenario: Deploying your Job on Talend Runtime to retrieve data from a MySQL database.

Warning:

If you use the component’s own DB configuration, your data source connection will be
closed at the end of the component. To prevent this from happening, use a shared DB
connection with the data source alias specified.

This check box is not available when the Use an existing
connection
check box is selected.

Advanced settings

Additional JDBC parameters

Specify additional connection properties for the DB connection you are
creating. This option is not available if you have selected the
Use an existing connection check
box in the Basic settings.

Note:

You can press Ctrl+Space to
access a list of predefined global variables.

Extend Insert

Select this check box to carry out a bulk insert of a defined set of
lines instead of inserting lines one by one. The gain in system
performance is considerable.

Number of rows per insert: enter the
number of rows to be inserted per operation. Note that the higher the
value specified, the lower performance levels shall be due to the
increase in memory demands.

Note:

This option is not compatible with the Reject link. You should therefore clear the check
box if you are using a Row >
Rejects
link with this component.

Warning:

If you are using this component with
tMysqlLastInsertID, ensure
that the Extend Insert check
box in Advanced Settings is not
selected. Extend Insert allows
for batch loading, however, if the check box is selected, only
the ID of the last line of the last batch will be returned.

Use Batch

Select this check box to activate the batch mode for data processing.

Note:

This check box is available only when you have selected, the
Update or the Delete option in the Action on data field.

Batch Size

Specify the number of records to be processed in each batch..

This field appears only when the Use batch mode
check box is selected.

Commit every

Number of rows to be included in the batch before it is committed to
the DB. This option ensures transaction quality (but not rollback) and,
above all, a higher performance level.

Additional Columns

This option is not available if you have just created the DB table
(even if you delete it beforehand). This option allows you to call SQL
functions to perform actions on columns, provided that these are not
insert, update or delete actions, or actions that require
pre-processing.

 

Name: Type in the name of the schema
column to be altered or inserted.

 

SQL expression: Type in the SQL
statement to be executed in order to alter or insert the data in the
corresponding column.

 

Position: Select Before, Replace or After,
depending on the action to be performed on the reference column.

 

Reference column: Type in a reference
column that tMySqlOutput can use to
locate or replace the new column, or the column to be modified.

Use field options

Select this check box to customize a request, particularly if multiple
actions are being carried out on the data.

Use Hint Options

Select this check box to activate the hint configuration area which
helps you optimize a query’s execution. In this area, parameters
are:

HINT: specify the hint you need,
using the syntax /*+ */.

POSITION: specify where you put
the hint in a SQL statement.

SQL STMT: select the SQL statement
you need to use.

Enable debug mode

Select this check box to display each step involved in the process of
writing data in the database.

Use duplicate key update mode insert

Updates the values of the columns specified, in the event of duplicate
primary keys.:

Column: Between double quotation marks,
enter the name of the column to be updated.

Value: Enter the action you want to
carry out on the column.

Note:

To use this option you must first of all select the Insert mode in the Action on data list found in the Basic Settings view.

tStatCatcher Statistics

Select this check box to collect log data at the component
level.

Enable parallel execution

Select this check box to perform high-speed data processing, by treating multiple data flows
simultaneously. Note that this feature depends on the database or the application ability to
handle multiple inserts in parallel as well as the number of CPU affected. In the Number of parallel executions field, either:

  • Enter the number of parallel executions desired.

  • Press Ctrl + Space and select the appropriate
    context variable from the list. For further information, see
    Talend Studio
    User Guide
    .

Note that when parallel execution is enabled, it is not possible to use global variables to
retrieve return values in a subjob.

Warning:

  • The Action on table
    field is not available with the parallelization function. Therefore, you
    must use a tCreateTable component if you
    want to create a table.

  • When parallel execution is enabled, it is not possible to use global
    variables to retrieve return values in a subjob.

Global Variables

Global Variables

NB_LINE: the number of rows read by an input component or
transferred to an output component. This is an After variable and it returns an
integer.

NB_LINE_UPDATED: the number of rows updated. This is an
After variable and it returns an integer.

NB_LINE_INSERTED: the number of rows inserted. This is an
After variable and it returns an integer.

NB_LINE_DELETED: the number of rows deleted. This is an
After variable and it returns an integer.

NB_LINE_REJECTED: the number of rows rejected. This is an
After variable and it returns an integer.

QUERY: the query statement processed. This is an After
variable and it returns a string.

To fill up a field or expression with a variable, press Ctrl +
Space
to access the variable list and choose the variable to use from it.

For further information about variables, see
Talend Studio

User Guide.

A Flow variable functions during the execution of a component while an After variable
functions after the execution of the component.

Usage

Usage rule

This component offers the flexibility benefit of the DB query and
covers all of the SQL queries possible.

This component must be used as an output component. It allows you to
carry out actions on a table or on the data of a table in a MySQL
database. It also allows you to create a reject flow using a Row > Rejects link to filter data in
error. For an example of tMySqlOutput
in use, see Scenario: Retrieving data in error with a Reject link.

Dynamic settings

Click the [+] button to add a
row in the table and fill the Code field
with a context variable to choose your database connection dynamically from
multiple connections planned in your Job. This feature is useful when you
need to access database tables having the same data structure but in
different databases, especially when you are working in an environment where
you cannot change your Job settings, for example, when your Job has to be
deployed and executed independent of
Talend Studio
.

The Dynamic settings table is
available only when the Use an existing
connection
check box is selected in the Basic settings view. Once a dynamic parameter is
defined, the Component List box in the
Basic settings view becomes unusable.

For examples on using dynamic parameters, see Scenario: Reading data from databases through context-based dynamic connections and Scenario: Reading data from different MySQL databases using dynamically loaded connection parameters. For more information on Dynamic
settings
and context variables, see
Talend Studio User Guide
.

Scenario: Inserting a column and altering data using tMysqlOutput

This Java scenario is a three-component job that aims at creating random data using a
tRowGenerator, duplicating a column to be altered
using the tMap component, and eventually altering the
data to be inserted based on an SQL expression using the tMysqlOutput component.

  • Drop the following components from the Palette onto the design workspace: tRowGenerator, tMap and
    tMySQLOutput.

  • Connect tRowGenerator, tMap, and tMysqlOutput using
    the Row Main link.

Use_Case_tMySQLOutput1.png
  • In the design workspace, select tRowGenerator to display its Basic
    settings
    view.

Use_Case_tMySQLOutput2.png
  • Click the Edit schema three-dot button to
    define the data to pass on to the tMap
    component, two columns in this scenario, name and
    random_date.

Use_Case_tMySQLOutput3.png
  • Click OK to close the dialog box.

  • Click the RowGenerator Editor three-dot
    button to open the editor and define the data to be generated.

Use_Case_tMySQLOutput4.png
  • Click in the corresponding Functions fields
    and select a function for each of the two columns, getFirstName for
    the first column and getrandomDate for the second column.

  • In the Number of Rows for Rowgenerator
    field, enter 10 to generate ten first name rows and click Ok to close the editor.

  • Double-click the tMap component to open the
    Map editor. The Map editor opens displaying the input metadata of the tRowGenerator component.

Use_Case_tMySQLOutput5.png
  • In the Schema editor panel of the Map
    editor, click the plus button of the output table to add two rows and define the
    first as random_date and the second as
    random_date1.

Use_Case_tMySQLOutput6.png

In this scenario, we want to duplicate the random_date column and
adapt the schema in order to alter the data in the output component.

  • In the Map editor, drag the random_date row from the
    input table to the random_date and random_date1
    rows in the output table.

Use_Case_tMySQLOutput7.png
  • Click OK to close the editor.

  • In the design workspace, double-click the tMysqlOutput component to display its Basic settings view and set its parameters.

Use_Case_tMySQLOutput8.png
  • Set Property Type to Repository and then click the three-dot button to open the
    [Repository content] dialog box and select
    the correct DB connection. The connection details display automatically in the
    corresponding fields.

    Note:

    If you have not stored the DB connection details in the Metadata entry in the Repository, select Built-in
    on the property type list and set the connection detail manually.

  • Click the three-dot button next to the Table
    field and select the table to be altered, Dates in this
    scenario.

  • On the Action on table list, select
    Drop table if exists and create, select
    Insert on the Action on
    data
    list.

  • If needed, click Sync columns to synchronize
    with the columns coming from the tMap
    component.

  • Click the Advanced settings tab to display
    the corresponding view and set the advanced parameters.

Use_Case_tMySQLOutput10.png
  • In the Additional Columns area, set the
    alteration to be performed on columns.

    In this scenario, the One_month_later column replaces
    random_date_1. Also, the data itself gets altered using
    an SQL expression that adds one month to the randomly picked-up date of the
    random_date_1 column. ex: 2007-08-12 becomes
    2007-09-12.

    -Enter One_Month_Later in the Name cell.

    -In the SQL expression cell, enter the
    relevant addition script to be performed, "adddate(Random_date, interval 1
    month)"
    in this scenario.

    -Select Replace on the Position list.

    -Enter Random_date1 on the Reference column list.

Note:

For this job we duplicated the random_date_1 column in the DB
table before replacing one instance of it with the
One_Month_Later column. The aim of this workaround was to
be able to view upfront the modification performed.

  • Save your job and press F6 to execute
    it.

The new One_month_later column replaces the
random_date1 column in the DB table and adds one month to each
of the randomly generated dates.

Use_Case_tMySQLOutput9.png

See also Procedure of
the tDBOutput component.

Scenario: Updating data using tMysqlOutput

This Java scenario describes a two-component Job that updates data in a MySQL table
according to that in a delimited file.

  • Drop tFileInputDelimited and tMysqlOutput from the Palette onto the design workspace.

  • Connect the two components together using a Row
    Main
    link.

Use_Case_tMySQLOutput11.png
  • Double-click tFileInputDelimited to display
    its Basic settings view and define the
    component properties.

  • From the Property Type list, select Repository if you have already stored the metadata of
    the delimited file in the Metadata node in the
    Repository tree view. Otherwise, select
    Built-In to define manually the metadata of
    the delimited file.

    For more information about storing metadata, see
    Talend Studio

    User Guide.

Use_Case_tMySQLOutput12.png
  • In the File Name field, click the three-dot
    button and browse to the source delimited file that contains the modifications
    to propagate in the MySQL table.

    In this example, we use the customer_update file that
    holds four columns: id, CustomerName,
    CustomerAddress and idState. Some
    of the data in these four columns is different from that in the MySQL
    table.

Use_Case_tMysqlOutput16.png
  • Define the row and field separators used in the source file in the
    corresponding fields.

  • If needed, set Header, Footer and Limit.

    In this example, Header is set to 1 since the
    first row holds the names of columns, therefore it should be ignored. Also, the
    number of processed lines is limited to 2000.

  • Click
    the three-dot button next to Edit Schema to
    open a dialog box where you can describe the data structure of the source
    delimited file that you want to pass to the component that follows.

Use_Case_tMySQLOutput13.png
  • Select the Key check box(es) next to the
    column name(s) you want to define as key column(s).

Note:

It is necessary to define at least one column as a key column for the Job to be
executed correctly. Otherwise, the Job is automatically interrupted and an error
message displays on the console.

  • In the design workspace, double-click tMysqlOutput to open its Basic
    settings
    view where you can define its properties.

Use_Case_tMysqlOutput14.png
  • Click Sync columns to retrieve the schema of
    the preceding component. If needed, click the three-dot button next to Edit schema to open a dialog box where you can check
    the retrieved schema.

  • From the Property Type list, select Repository if you have already stored the connection
    metadata in the Metadata node in the Repository tree view. Otherwise, select Built-In to define manually the connection
    information.

    For more information about storing metadata, see
    Talend Studio

    User Guide.

  • Fill in the database connection information in the corresponding
    fields.

  • In the Table field, enter the name of the
    table to update.

  • From the Action on table list, select the
    operation you want to perform, Default in this
    example since the table already exists.

  • From the Action on data list, select the
    operation you want to perform on the data, Update in this example.

  • Save your Job and press F6 to execute it.

Use_Case_tMySQLOutput20.png

Using you DB browser, you can verify if the MySQL table, customers,
has been modified according to the delimited file.

In the above example, the database table has always the four columns
id, CustomerName,
CustomerAddress and idState, but certain
fields have been modified according to the data in the delimited file used.

Scenario: Retrieving data in error with a Reject link

This scenario describes a four-component Job that carries out migration from a
customer file to a MySQL database table and redirects data in error towards a CSV file
using a Reject link.

Use_Case_tMySQLOutput3_1.png
  • In the Repository, select the customer file
    metadata that you want to migrate and drop it onto the workspace. In the
    [Components] dialog box, select tFileInputDelimited and click OK. The component properties will be filled in
    automatically.

  • If you have not stored the information about your customer file under
    the Metadata node in the Repository.
    Drop a tFileInputDelimited component from the family File > Input, in
    the Palette, and fill in its properties
    manually in the Component tab.

  • From the Palette, drop a tMap from the Processing family onto the workspace.

  • In the Repository, expand the Metadata node, followed by the Db Connections node and select the connection required to
    migrate your data to the appropriate database. Drop it onto the workspace. In
    the [Components] dialog box, select tMysqlOutput and click OK. The database connection properties will be automatically
    filled in.

  • If you have not stored the database connection details under the Db Connections node in the Repository, drop a tMysqlOutput
    from the Databases family in the Palette and fill in its properties manually in the
    Component tab.

For more information, see
Talend Studio

User Guide.

  • From the Palette, select a tFileOutputDelimited from the File > Output family, and
    drop it onto the workspace.

  • Link the customers component to the
    tMap component, and the tMap and Localhost
    with a Row Main link. Name this second link
    out.

  • Link the Localhost to the tFileOutputDelimited using a Row > Reject link.

  • Double-click the customers component to
    display the Component view.

Use_Case_tMySQLOutput3_2.png
  • In the Property Type list, select Repository and click the […]
    button
    in order to select the metadata containing the connection
    to your file. You can also select the Built-in
    mode and fill in the fields manually.

  • Click the […] button next to the File Name field, and fill in the path and the name of
    the file you want to use.

  • In the Row and Field
    Separator
    fields, type in between inverted commas the row and
    field separator used in the file.

  • In the Header, Footer and Limit fields, type
    in the number of headers and footers to ignore, and the number of rows to which
    processing should be limited.

  • In the Schema list, select Repository and click the […] button in order to select the schema of your file, if it
    is stored under the Metadata node in the
    Repository. You can also click the
    […] button next to the Edit schema field, and set the schema manually.

The schema is as follows:

Use_Case_tMySQLOutput3_3.png
  • Double-click the tMap component to open its
    editor.

Use_Case_tMySQLOutput3_4.png
  • Select the id, CustomerName,
    CustomerAddress, idSate,
    id2, RegTime and
    RegisterTime columns on the table on the left and drop
    them on the out table, on the right.

Use_Case_tMySQLOutput3_5.png
  • In the Schema editor area, at the bottom of
    the tMap editor, in the right table, change the
    length of the CustomerName column to
    28 to create an error. Thus, any data for which the
    length is greater than 28 will create errors, retrieved with the Reject link.

  • Click OK.

  • In the workspace, double-click the output Localhost component to display its Component view.

Use_Case_tMySQLOutput3_6.png
  • In the Property Type list, select Repository and click the […] button to select the connection to the database metadata.
    The connection details will be automatically filled in. You can also select the
    Built-in mode and set the fields
    manually.

  • In the Table field, type in the name of the
    table to be created. In this scenario, we call it
    customers_data.

  • In the Action on data list, select the
    Create table option.

  • Click the Sync columns button to retrieve
    the schema from the previous component.

  • Make sure the Die on error check box isn’t
    selected, so that the Job can be executed despite the error you just
    created.

  • Click the Advanced settings tab of the
    Component view to set the advanced
    parameters of the component.

Use_Case_tMySQLOutput3_7.png
  • Deselect the Extend Insert check box which
    enables you to insert rows in batch, because this option is not compatible with
    the Reject link.

  • Double-click the tFileOutputDelimited
    component to set its properties in the Component view.

Use_Case_tMySQLOutput3_8.png
  • Click the […] button next to the File Name field to fill in the path and name of the
    output file.

  • Click the Sync columns button to retrieve
    the schema of the previous component.

  • Save your Job and press F6 to execute it.

Use_Case_tMySQLOutput3_9.png

The data in error are sent to the delimited file, as well as the error type met. Here,
we have: Data truncation.

Scenario: Writing dynamic columns from a source file to a database

This scenario applies only to a subscription-based Talend solution.

In this scenario, MySQL is used for demonstration purposes. You will read dynamic columns from a source file, map them and then
write them to a table in a MySQL database. By defining
a dynamic column alongside known column names, we can retrieve all of the columns from
the source file, including the unknown columns.

  • Drop a tFileInputDelimited, a tMap and a tMysqlOutput component onto the workspace.

dynamic_schema_connections.png
  • Link tFileInputDelimited to tMap using a Row >
    Main
    connection.

  • Link tMap to tMysqlOutput using a Row > *New Output*
    (Main)
    connection.

  • Double-click tFileInputDelimited to open its
    Basic Settings view in the Component tab.

dynamic_schema_tFileInputDelimited_BasicSettings.png
Warning:

The dynamic schema feature is only supported in Built-In mode.

  • Select Built-In from the Property Type list.

  • Click the […] button next to the File name/Stream field and browse to the input
    file.

  • Enter the characters you want to use as separators next to the Row Separator and Field
    Separator
    fields.

  • Click Edit Schema to define the source file
    schema.

    The [Edit Schema] dialog box opens.

dynamic_schema_tFileInputDelimited_Edit_Schema.png
  • Add as many rows as required or delete rows using the

    plus_button.png

    and

    delete_button.png

    buttons.

  • Modify the order of the columns using the

    downward_arrow.png

    and

    upward_arrow.png

    buttons.

  • Under Column, enter the names of each known
    column on separate rows.

  • In the last row, under Column, enter a name
    for the dynamic column.

  • Under Type, click the field to define the
    type of data in the corresponding column.

    Click the arrow to select the correct data type.

Warning:

Under Type, the dynamic
column type must be set as Dynamic.

Warning:

The dynamic column must be defined in the last row of the schema.

  • Click OK to close the dialog box when you
    have finished defining the source schema.

  • Click tMap to open its Basic Settings view in the Component tab.

dynamic_schema_tMap_Basic_Settings.png
  • Click […] next to Map Editor to map the columns from the source file.

dynamic_schema_tMap_Edit1.png
  • On the toolbar on top of the Output Panel on
    the top right of the window, click the

    plus_button.png

    button.

    The [Add an Output] schema dialog box
    appears.

dynamic_schema_Add_An_Output.png
  • Next to New output, enter a name for the
    output schema.

  • Click OK to close the dialog box.

  • Using the Ctrl + click technique, highlight
    all off the column names in the input schema on the left and drop them onto the
    output schema.

    The columns dropped on the output columns retain their original values and
    they are automatically mapped on a one to one basis.

dynamic_schema_tMap_Edit2.png
  • In the output schema, click the relevant row under Expression if you want to use the Expression Builder to set advanced parameters for the
    corresponding column in the output.

  • Click the […] button which appears to open
    the Expression Builder and set the parameters
    as required.

For further information about using the Expression
Builder
, see
Talend Studio

User Guide.

Warning:

The dynamic column must be mapped on a one to one basis and cannot undergo
any transformations. It cannot be used in a filter expression or in a variables
section. It cannot be renamed in the output table and cannot be used as a join
condition.

  • Click OK to close the Map Editor.

  • Double click tMysqlOutput to set its
    Basic Settings in the Component tab.

dynamic_schema_tMysqlOutput_Basic_Properties.png
  • Select Built-in as the Property Type.

  • Select the DB Version from the corresponding
    list.

  • Next to Host, enter the database server IP
    address.

  • Next to Port, enter the listening port
    number of the database server.

  • Enter your authentication data in the Username and Password
    fields.

  • Next to Action on table, select the required
    action.

  • Next to Action on data, select the required
    action.

  • Set the Schema type as
    Built-in
    and click Edit schema
    to modify the schema if required.

  • Press F6 to run the Job.

    The table is written to the MySQL database along with the data and the column
    names of the previously unknown columns:

dynamic_schema_mysql_database.png
Note:

The Job can also be run in the Traces Debug mode,
which allows you to view the rows as they are written to the output file, in the
workspace.

For further information about defining and mapping dynamic schemas, see
Talend Studio

User Guide.

For an example of how to write dynamic columns to an output file, see Scenario 5: Writing dynamic columns from a database to an output file.

tMysqlOutput MapReduce properties

These properties are used to configure tMysqlOutput running in the MapReduce Job framework.

The MapReduce
tMysqlOutput component belongs to the Databases family.

The component in this framework is available only if you have subscribed to one
of the
Talend
solutions with Big Data.

Basic settings

Property type

Either Built-In or Repository.

Built-In: No property data stored centrally.

Repository: Select the repository file where the
properties are stored.

DB Version

Select the version of the database to be used.

Save_Icon.png

Click this icon to open a database connection wizard and store the
database connection parameters you set in the component Basic settings view.

For more information about setting up and storing database connection
parameters, see
Talend Studio

User Guide.

Host

Database server IP address.

Port

Listening port number of DB server.

Database

Name of the database.

Username and Password

DB user authentication data.

To enter the password, click the […] button next to the
password field, and then in the pop-up dialog box enter the password between double quotes
and click OK to save the settings.

Table

Name of the table to be written. Note that only one table can be
written at a time

Schema and Edit
schema

A schema is a row description. It defines the number of fields (columns) to
be processed and passed on to the next component. The schema is either Built-In or stored remotely in the Repository.

 

Built-In: You create and store the
schema locally for this component only. Related topic: see
Talend Studio

User Guide.

 

Repository: You have already created
the schema and stored it in the Repository. You can reuse it in various projects and
Job designs. Related topic: see
Talend Studio

User Guide.

When the schema to be reused has default values that are integers or
functions, ensure that these default values are not enclosed within quotation marks. If
they are, you must remove the quotation marks manually.

You can find more details about how to verify default
values in retrieved schema in Talend Help Center (https://help.talend.com).

 

Click Edit schema to make changes to the schema.
If the current schema is of the Repository type, three
options are available:

  • View schema: choose this option to view the
    schema only.

  • Change to built-in property: choose this
    option to change the schema to Built-in for
    local changes.

  • Update repository connection: choose this
    option to change the schema stored in the repository and decide whether to propagate
    the changes to all the Jobs upon completion. If you just want to propagate the
    changes to the current Job, you can select No
    upon completion and choose this schema metadata again in the [Repository Content] window.

Die on error

This check box is selected by default. Clear the check box to skip the
row in error and complete the process for error-free rows. If needed,
you can retrieve the rows in error via a Row > Rejects
link.

Usage

Usage rule

In a
Talend
Map/Reduce Job, it is used as an end component and requires
a transformation component as input link. The other components used along with it must be
Map/Reduce components, too. They generate native Map/Reduce code that can be executed
directly in Hadoop.

Note that in this documentation, unless otherwise
explicitly stated, a scenario presents only Standard Jobs,
that is to say traditional
Talend
data integration Jobs, and non Map/Reduce Jobs.

Hadoop Connection

You need to use the Hadoop Configuration tab in the
Run view to define the connection to a given Hadoop
distribution for the whole Job.

This connection is effective on a per-Job basis.

Related scenarios

No scenario is available for the Map/Reduce version of this component yet.

tMysqlOutput properties for Apache Spark Batch

These properties are used to configure tMysqlOutput running in the Spark Batch Job framework.

The Spark Batch
tMysqlOutput component belongs to the Databases family.

This component can also be used to write data to a RDS Aurora or a RDS MySQL
database.

The component in this framework is available only if you have subscribed to one
of the
Talend
solutions with Big Data.

Basic settings

Property type

Either Built-In or Repository.

Built-In: No property data stored centrally.

Repository: Select the repository file where the
properties are stored.

DB Version

Select the MySQL version you are using.

When the database to be used is RDS Aurora, you need to select Mysql 5.

Save_Icon.png

Click this icon to open a database connection wizard and store the
database connection parameters you set in the component Basic settings view.

For more information about setting up and storing database connection
parameters, see
Talend Studio

User Guide.

Use an existing connection

Select this check box and in the Component
List
click the relevant connection component to reuse the connection
details you already defined.

Host

Database server IP address.

Port

Listening port number of DB server.

Database

Name of the database.

Username and Password

DB user authentication data.

To enter the password, click the […] button next to the
password field, and then in the pop-up dialog box enter the password between double quotes
and click OK to save the settings.

Table

Name of the table to be written. Note that only one table can be
written at a time

Schema and Edit
schema

A schema is a row description. It defines the number of fields (columns) to
be processed and passed on to the next component. The schema is either Built-In or stored remotely in the Repository.

 

Built-In: You create and store the
schema locally for this component only. Related topic: see
Talend Studio

User Guide.

 

Repository: You have already created
the schema and stored it in the Repository. You can reuse it in various projects and
Job designs. Related topic: see
Talend Studio

User Guide.

When the schema to be reused has default values that are integers or
functions, ensure that these default values are not enclosed within quotation marks. If
they are, you must remove the quotation marks manually.

You can find more details about how to verify default
values in retrieved schema in Talend Help Center (https://help.talend.com).

 

Click Edit schema to make changes to the schema.
If the current schema is of the Repository type, three
options are available:

  • View schema: choose this option to view the
    schema only.

  • Change to built-in property: choose this
    option to change the schema to Built-in for
    local changes.

  • Update repository connection: choose this
    option to change the schema stored in the repository and decide whether to propagate
    the changes to all the Jobs upon completion. If you just want to propagate the
    changes to the current Job, you can select No
    upon completion and choose this schema metadata again in the [Repository Content] window.

Advanced settings

Additional JDBC parameters

Specify additional connection properties for the database connection you are
creating.

Use Batch per partition

Select this check box to activate the batch mode for data processing.

Note:

This check box is available only when you have selected, the
Update or the Delete option in the Action on data field.

Batch Size

Specify the number of records to be processed in each batch..

This field appears only when the Use batch mode
check box is selected.

Connection pool

In this area, you configure, for each Spark executor, the connection pool used to control
the number of connections that stay open simultaneously. The default values given to the
following connection pool parameters are good enough for most use cases.

  • Max total number of connections: enter the maximum number
    of connections (idle or active) that are allowed to stay open simultaneously.

    The default number is 8. If you enter -1, you allow unlimited number of open connections at the same
    time.

  • Max waiting time (ms): enter the maximum amount of time
    at the end of which the response to a demand for using a connection should be returned by
    the connection pool. By default, it is -1, that is to say, infinite.

  • Min number of idle connections: enter the minimum number
    of idle connections (connections not used) maintained in the connection pool.

  • Max number of idle connections: enter the maximum number
    of idle connections (connections not used) maintained in the connection pool.

Evict connections

Select this check box to define criteria to destroy connections in the connection pool. The
following fields are displayed once you have selected it.

  • Time between two eviction runs: enter the time interval
    (in milliseconds) at the end of which the component checks the status of the connections and
    destroys the idle ones.

  • Min idle time for a connection to be eligible to
    eviction
    : enter the time interval (in milliseconds) at the end of which the idle
    connections are destroyed.

  • Soft min idle time for a connection to be eligible to
    eviction
    : this parameter works the same way as Min idle
    time for a connection to be eligible to eviction
    but it keeps the minimum number
    of idle connections, the number you define in the Min number of idle
    connections
    field.

Usage

Usage rule

This component is used as an end component and requires an input link.

This component should use a tMysqlConfiguration component
present in the same Job to connect to MySQL. You need to select the Use an existing connection check box and then select the tMysqlConfiguration component to be used.

This component, along with the Spark Batch component Palette it belongs to, appears only
when you are creating a Spark Batch Job.

Note that in this documentation, unless otherwise
explicitly stated, a scenario presents only Standard Jobs,
that is to say traditional
Talend
data integration Jobs.

Spark Connection

You need to use the Spark Configuration tab in
the Run view to define the connection to a given
Spark cluster for the whole Job. In addition, since the Job expects its dependent jar
files for execution, you must specify the directory in the file system to which these
jar files are transferred so that Spark can access these files:

  • Yarn mode: when using Google
    Dataproc, specify a bucket in the Google Storage staging
    bucket
    field in the Spark
    configuration
    tab; when using other distributions, use a
    tHDFSConfiguration
    component to specify the directory.

  • Standalone mode: you need to choose
    the configuration component depending on the file system you are using, such
    as tHDFSConfiguration
    or tS3Configuration.

This connection is effective on a per-Job basis.

Related scenarios

For a scenario about how to use the same type of component in a Spark Batch Job, see Writing and reading data from MongoDB using a Spark Batch Job.

tMysqlOutput properties for Apache Spark Streaming

These properties are used to configure tMysqlOutput running in the Spark Streaming Job framework.

The Spark Streaming
tMysqlOutput component belongs to the Databases family.

This component can also be used to write data to a RDS Aurora or a RDS MySQL
database.

The component in this framework is available only if you have subscribed to Talend Real-time Big Data Platform or Talend Data
Fabric.

Basic settings

Property type

Either Built-In or Repository.

Built-In: No property data stored centrally.

Repository: Select the repository file where the
properties are stored.

DB Version

Select the version of the database to be used.

When the database to be used is RDS Aurora, you need to select Mysql 5.

Save_Icon.png

Click this icon to open a database connection wizard and store the
database connection parameters you set in the component Basic settings view.

For more information about setting up and storing database connection
parameters, see
Talend Studio

User Guide.

Use an existing connection

Select this check box and in the Component
List
click the relevant connection component to reuse the connection
details you already defined.

Host

Database server IP address.

Port

Listening port number of DB server.

Database

Name of the database.

Username and Password

DB user authentication data.

To enter the password, click the […] button next to the
password field, and then in the pop-up dialog box enter the password between double quotes
and click OK to save the settings.

Table

Name of the table to be written. Note that only one table can be
written at a time

Action on table

On the table defined, you can perform one of the following
operations:

Default: No operation is carried
out.

Drop and create a table: The table is
removed and created again.

Create a table: The table does not
exist and gets created.

Create a table if not exists: The table
is created if it does not exist.

Drop a table if exists and create: The
table is removed if it already exists and created again.

Clear a table: The table content is
deleted.

Truncate table: The table content is
quickly deleted. However, you will not be able to rollback the
operation.

Schema and Edit
schema

A schema is a row description. It defines the number of fields (columns) to
be processed and passed on to the next component. The schema is either Built-In or stored remotely in the Repository.

 

Built-In: You create and store the
schema locally for this component only. Related topic: see
Talend Studio

User Guide.

 

Repository: You have already created
the schema and stored it in the Repository. You can reuse it in various projects and
Job designs. Related topic: see
Talend Studio

User Guide.

When the schema to be reused has default values that are integers or
functions, ensure that these default values are not enclosed within quotation marks. If
they are, you must remove the quotation marks manually.

You can find more details about how to verify default
values in retrieved schema in Talend Help Center (https://help.talend.com).

 

Click Edit schema to make changes to the schema.
If the current schema is of the Repository type, three
options are available:

  • View schema: choose this option to view the
    schema only.

  • Change to built-in property: choose this
    option to change the schema to Built-in for
    local changes.

  • Update repository connection: choose this
    option to change the schema stored in the repository and decide whether to propagate
    the changes to all the Jobs upon completion. If you just want to propagate the
    changes to the current Job, you can select No
    upon completion and choose this schema metadata again in the [Repository Content] window.

Die on error

This check box is selected by default. Clear the check box to skip the
row in error and complete the process for error-free rows. If needed,
you can retrieve the rows in error via a Row > Rejects
link.

Advanced settings

Additional JDBC parameters

Specify additional connection properties for the DB connection you are
creating. This option is not available if you have selected the
Use an existing connection check
box in the Basic settings.

Note:

You can press Ctrl+Space to
access a list of predefined global variables.

Use Batch

Select this check box to activate the batch mode for data processing.

Note:

This check box is available only when you have selected, the
Update or the Delete option in the Action on data field.

Batch Size

Specify the number of records to be processed in each batch..

This field appears only when the Use batch mode
check box is selected.

Connection pool

In this area, you configure, for each Spark executor, the connection pool used to control
the number of connections that stay open simultaneously. The default values given to the
following connection pool parameters are good enough for most use cases.

  • Max total number of connections: enter the maximum number
    of connections (idle or active) that are allowed to stay open simultaneously.

    The default number is 8. If you enter -1, you allow unlimited number of open connections at the same
    time.

  • Max waiting time (ms): enter the maximum amount of time
    at the end of which the response to a demand for using a connection should be returned by
    the connection pool. By default, it is -1, that is to say, infinite.

  • Min number of idle connections: enter the minimum number
    of idle connections (connections not used) maintained in the connection pool.

  • Max number of idle connections: enter the maximum number
    of idle connections (connections not used) maintained in the connection pool.

Evict connections

Select this check box to define criteria to destroy connections in the connection pool. The
following fields are displayed once you have selected it.

  • Time between two eviction runs: enter the time interval
    (in milliseconds) at the end of which the component checks the status of the connections and
    destroys the idle ones.

  • Min idle time for a connection to be eligible to
    eviction
    : enter the time interval (in milliseconds) at the end of which the idle
    connections are destroyed.

  • Soft min idle time for a connection to be eligible to
    eviction
    : this parameter works the same way as Min idle
    time for a connection to be eligible to eviction
    but it keeps the minimum number
    of idle connections, the number you define in the Min number of idle
    connections
    field.

Usage

Usage rule

This component is used as an end component and requires an input link.

This component should use a tMysqlConfiguration component
present in the same Job to connect to MySQL. You need to select the Use an existing connection check box and then select the tMysqlConfiguration component to be used.

This component, along with the Spark Streaming component Palette it belongs to, appears
only when you are creating a Spark Streaming Job.

Note that in this documentation, unless otherwise explicitly stated, a scenario presents
only Standard Jobs, that is to say traditional
Talend
data
integration Jobs.

Spark Connection

You need to use the Spark Configuration tab in
the Run view to define the connection to a given
Spark cluster for the whole Job. In addition, since the Job expects its dependent jar
files for execution, you must specify the directory in the file system to which these
jar files are transferred so that Spark can access these files:

  • Yarn mode: when using Google
    Dataproc, specify a bucket in the Google Storage staging
    bucket
    field in the Spark
    configuration
    tab; when using other distributions, use a
    tHDFSConfiguration
    component to specify the directory.

  • Standalone mode: you need to choose
    the configuration component depending on the file system you are using, such
    as tHDFSConfiguration
    or tS3Configuration.

This connection is effective on a per-Job basis.

Related scenarios

For a scenario about how to use the same type of component in a Spark Streaming Job, see
Reading and writing data in MongoDB using a Spark Streaming Job.


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